[ bullseye ]
[ sid ]
原始碼套件:tpot(0.11.7+dfsg-5)
本原始碼套件構建了以下這些二進位制包:
- python-tpot-doc
- documentation and examples for TPOT
- python3-tpot
- Automated Machine Learning tool built on top of scikit-learn
其他與 tpot 有關的套件
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- adep: debhelper-compat (= 13)
- 套件暫時不可用
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- adep: dh-python
- Debian helper tools for packaging Python libraries and applications
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- adep: mkdocs
- Static site generator geared towards building project documentation
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- adep: help2man
- Automatic manpage generator
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- adep: python3-all
- package depending on all supported Python 3 runtime versions
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- adep: python3-deap (>= 1.2)
- Distributed Evolutionary Algorithms in Python3
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- adep: python3-joblib (>= 0.13.2)
- tools to provide lightweight pipelining in Python
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- adep: python3-imblearn (>= 0.7.0)
- library providing resampling techniques
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- adep: python3-nose (>= 1.3.7)
- test discovery and running for Python3 unittest
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- adep: python3-numpy (>= 1.16.3)
- Fast array facility to the Python language (Python 3)
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- adep: python3-pandas (>= 0.24.2)
- data structures for "relational" or "labeled" data
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- adep: python3-scipy (>= 1.3.1)
- scientific tools for Python 3
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- adep: python3-setuptools
- Python3 Distutils Enhancements
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- adep: python3-sklearn (>= 1.0)
- Python modules for machine learning and data mining - Python 3
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- adep: python3-stopit (>= 1.1.1)
- Timeout control decorator and context manager for Python3
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- adep: python3-torch
- Tensors and Dynamic neural networks in Python (Python Interface)
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- adep: python3-tqdm (>= 4.36.1)
- fast, extensible progress bar for Python 3 and CLI tool
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- adep: python3-xgboost (>= 1.1.0)
- Scalable and Flexible Gradient Boosting (Python3)
Download tpot
檔案 | 大小(單位:kB) | MD5 校驗碼 |
---|---|---|
tpot_0.11.7+dfsg-5.dsc | 2。4 kB | cfea6085a394d5d38d0ca513fd532056 |
tpot_0.11.7+dfsg.orig.tar.xz | 711。9 kB | 92f58b8bcce1af6ca0061415bb0d9d6a |
tpot_0.11.7+dfsg-5.debian.tar.xz | 10。1 kB | 85d1bb2a122c103a17c8d4311f389e98 |
- Debian 套件原始碼倉庫(VCS:Git)
- https://salsa.debian.org/science-team/tpot.git
- Debian 套件原始碼倉庫(可線上瀏覽)
- https://salsa.debian.org/science-team/tpot